A novel dimensionality-reduction approach for face recognition.
Fengxi SongDavid ZhangJing-Yu YangPublished in: Neurocomputing (2006)
Keyphrases
- dimensionality reduction
- face recognition
- linear discriminant analysis
- principal component analysis
- linear dimensionality reduction
- neighborhood preserving
- subspace learning
- feature extraction
- locality preserving projections
- sparse representation
- discriminant analysis
- high dimensional
- kernel pca
- kernel discriminant analysis
- neighborhood preserving embedding
- face images
- high dimensional data
- low dimensional
- data representation
- high dimensionality
- structure preserving
- feature space
- recognition rate
- manifold learning
- pattern recognition
- pattern recognition and machine learning
- data points
- feature selection
- dimensionality reduction methods
- face databases
- facial images
- graph embedding
- principal components
- dimension reduction
- subspace methods
- face detection
- recognition accuracy
- facial expressions
- pose variations
- least squares
- discriminant embedding
- multiscale
- nonlinear dimensionality reduction
- face recognition systems
- random projections
- face verification